TY - GEN
T1 - Sensor fault detection under asynchronous switched systems with state delays
AU - Ali, Shafqat
AU - Jiang, Yuchen
AU - Luo, Hao
AU - Raza, Muhammad Taskeen
AU - Shahid, Faizan
AU - Faisal, Shah
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This study aims to develop a technique for detecting sensor faults in continuous-time asynchronous switched time- delay systems using Mode Dependent Average Dwell Time (MDADT) switching. Introducing a sliding mode observer for fault detection aims to generate a residual signal. In complex asynchronous switched systems, the observer lags behind the corresponding subsystem or mode, resulting in matched and mismatched periods. Furthermore, the presence of time delays in asynchronous switched systems, such as delays between subsystems and observer lag time, and state delays, adds to the complexity of the problem. A Lyapunov function is chosen for matched and mismatched periods combined with MDADT to achieve global uniform asymptotic stability. By using the H∞ performance index, the presence of faults mitigates the influence of residual error signals. By establishing adequate conditions, linear matrix inequalities can be derived, and observer parameters and matrix parameters can be designed accordingly. In conclusion, an illustrative numerical example demonstrates the efficacy of the proposed technique.
AB - This study aims to develop a technique for detecting sensor faults in continuous-time asynchronous switched time- delay systems using Mode Dependent Average Dwell Time (MDADT) switching. Introducing a sliding mode observer for fault detection aims to generate a residual signal. In complex asynchronous switched systems, the observer lags behind the corresponding subsystem or mode, resulting in matched and mismatched periods. Furthermore, the presence of time delays in asynchronous switched systems, such as delays between subsystems and observer lag time, and state delays, adds to the complexity of the problem. A Lyapunov function is chosen for matched and mismatched periods combined with MDADT to achieve global uniform asymptotic stability. By using the H∞ performance index, the presence of faults mitigates the influence of residual error signals. By establishing adequate conditions, linear matrix inequalities can be derived, and observer parameters and matrix parameters can be designed accordingly. In conclusion, an illustrative numerical example demonstrates the efficacy of the proposed technique.
KW - Asynchronous switched systems
KW - Fault Detection (FD)
KW - Mode Dependent Average Dwell Time (MDADT)
KW - Sliding Mode Observer (SMO)
KW - Time delays
UR - https://www.scopus.com/pages/publications/85178078922
U2 - 10.1109/SAFEPROCESS58597.2023.10295623
DO - 10.1109/SAFEPROCESS58597.2023.10295623
M3 - 会议稿件
AN - SCOPUS:85178078922
T3 - Proceedings of 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023
BT - Proceedings of 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023
Y2 - 22 September 2023 through 24 September 2023
ER -